Insulation stripping method and equipment for wire processing

Abstract

This invention relates to the field of wire processing technology, specifically to a method and equipment for stripping insulation layers in wire processing. The method obtains feeding consistency by monitoring vibration during the feeding process over a monitoring period and the difference in wire length between each stripping cycle; it obtains cutting uniformity by combining the degree of deviation caused by the wire cutting length; the cutting uniformity, combined with the overall exposed length after stripping and the length of the detailed metal conductor, comprehensively characterizes the stripping efficiency; and the wire feeding speed is optimized by analyzing the stripping efficiency and the relationship between stripping efficiency and wire feeding speed. This invention analyzes and monitors the stability of equipment operation and the consistency and integrity of stripping during the stripping process, adjusts the subsequent feeding rate, ensures the appropriate operating state of the stripping equipment, and guarantees efficient and high-quality wire stripping.

Description

Technical Field

[0001] This invention relates to the field of wire processing technology, and more specifically to a method and equipment for stripping insulation layers in wire processing. Background Technology

[0002] In the production and processing of wires and cables, insulation stripping is a crucial step. The insulation layer of a wire not only protects the conductor from environmental influences, improving safety and reliability, but it is also an important factor in ensuring power transmission efficiency. With the development of power engineering, communication engineering, and related industries, the requirements for wire processing and performance are becoming increasingly stringent. Especially with the demand for miniaturized, lightweight, and high-performance wires, the insulation stripping process is particularly important. Stripping a certain length of the insulation layer ensures good electrical contact before the wire is connected to joints or other electrical components.

[0003] In automotive electrical systems, the number and complexity of wires have increased significantly with the integration of more and more electronic devices and systems, such as in-vehicle infotainment systems, driver assistance systems, and powertrain control modules. These wires and cables typically require precise stripping to ensure good electrical connections and signal transmission. Because the insulation layers of automotive wires are usually thin and made of various materials, stripping equipment must provide high-precision stripping to avoid damaging the conductors.

[0004] Currently, the main methods for stripping insulation layers in wire processing include mechanical stripping, thermal stripping, and chemical stripping. However, in the wire processing industry, mechanical stripping equipment is usually the most commonly used method. While mechanical stripping equipment has played a positive role in improving efficiency and production capacity, some problems still exist. Due to the varying hardness and thickness of the insulation layer material being stripped, the stripping speed may be too fast in pursuit of high efficiency. This can lead to the mechanical equipment being unable to accurately control the stripping depth, resulting in excessive contact pressure between the blade and the wire during operation, accelerating tool wear, and consequently, incomplete or uneven stripping of the insulation layer, leading to inconsistent exposed conductor portions and affecting subsequent processing. Summary of the Invention

[0005] To address the technical problem in existing technologies where, in pursuit of high efficiency, the stripping speed may be too fast, leading to inaccurate control of the stripping depth by mechanical equipment, accelerated wear of tools, and consequently, incomplete or uneven stripping of the insulation layer, thus affecting subsequent processing, the present invention aims to provide a method and equipment for stripping insulation layers in wire processing. The specific technical solution adopted is as follows:

[0006] This invention provides a method for stripping insulation from wires during wire processing, the method comprising:

[0007] During each stripping cycle in the monitoring period, acquire the vibration data of the equipment, the wire feeding rate, the feeding length and the cutting length, as well as the exposed length of the wire after stripping and the length of the metal wire on the exposed wire.

[0008] During the current monitoring period, the feeding consistency index is obtained based on the amplitude and frequency of vibration data in each peeling cycle and the fluctuation of the feed line length during the cycle; the cutting uniformity index is obtained based on the feeding consistency index during the current monitoring period and the uniformity of the cutting length deviation between every two peeling cycles.

[0009] By monitoring the required error in the length of exposed metal wires after stripping during the monitoring period, and combining this with the cutting uniformity index, the stripping fluctuation of the current monitoring period is obtained. Based on the change in the stripping fluctuation between the current monitoring period and the previous monitoring period, as well as the length deviation between the stripped metal wires, the stripping efficiency of the current monitoring period is obtained.

[0010] Based on the historical time series monitoring period's relationship between peeling efficiency and feeding rate, and the current monitoring period's peeling efficiency, the current optimization coefficient is obtained; the feeding rate of subsequent monitoring periods is adjusted according to the current optimization coefficient for peeling.

[0011] Furthermore, the method for obtaining the feeding consistency index includes:

[0012] In each peeling cycle, the extreme points of vibration data are obtained; the duration between each two adjacent extreme points is taken as each vibration time difference; the mean amplitude of all vibration data in each peeling cycle is negatively correlated and mapped to the mean of all vibration time differences to obtain the operational stability of each peeling cycle.

[0013] During the current monitoring period, the average feeding length of all peeling cycles is negatively correlated to obtain the current feeding stability.

[0014] The product of the mean operational stability of all peeling cycles and the feeding stability is used as the feeding consistency index for the current monitoring period.

[0015] Furthermore, the method for obtaining the cutting uniformity index includes:

[0016] In each peeling cycle, the difference between the cutting length and the expected cutting length is recorded as the cutting deviation; the ratio of the cutting deviation to the preset error value is used as the cutting error degree for each peeling cycle.

[0017] During the monitoring period, after calculating the difference in cutting error between two different peeling cycles, the average of all differences is taken as the cutting fluctuation of the current monitoring period.

[0018] By combining the feeding consistency index and cutting fluctuation of the current monitoring period, the cutting uniformity of the current monitoring period can be obtained.

[0019] Furthermore, the method for obtaining the peeling fluctuation includes:

[0020] After calculating the difference between the exposed length and the expected exposed length in each peeling cycle, the average of the differences in all peeling cycles is taken as the exposure error degree for the current monitoring period.

[0021] The product of the negative correlation mapping of the cutting uniformity index for the current monitoring period and the exposure error is used as the peeling fluctuation for the current monitoring period.

[0022] Furthermore, the method for obtaining the peeling efficiency includes:

[0023] During each monitoring period, the length difference between any two different metal wires on the exposed wire in each stripping cycle is calculated as the wire deviation; the average of all wire deviations on the exposed wire in each stripping cycle is taken as the wire length fluctuation of each stripping cycle.

[0024] The ratio of the current monitoring period's peeling volatility to the previous monitoring period's volatility is taken as the current time-series volatility.

[0025] By combining the temporal fluctuation of the current monitoring period with the conductor length fluctuation of all stripping periods, the stripping efficiency for the current monitoring period can be obtained.

[0026] Furthermore, the step of combining the temporal volatility of the current monitoring period with the conductor length volatility of all stripping periods to obtain the stripping efficiency for the current monitoring period includes:

[0027] The sum of the conductor length fluctuations across all stripping cycles is taken as the conductor inconsistency for the current monitoring cycle.

[0028] By performing a negative correlation mapping on the product of the temporal volatility and the conductor inconsistency during the current monitoring period, the peeling efficiency for the current monitoring period can be obtained.

[0029] Furthermore, the method for obtaining the optimization coefficients includes:

[0030] First, the peeling efficiency of each monitoring period in the preset historical period is fitted to obtain an efficiency curve; the average feeding speed of each monitoring period in the preset historical period is fitted to obtain a rate curve; the closeness between the efficiency curve and the rate curve is calculated and normalized to obtain the efficiency correlation.

[0031] The normalized value of peeling efficiency for the current monitoring period is added to the normalized value of efficiency correlation, and the optimization coefficient for the current monitoring period is obtained by performing negative correlation mapping.

[0032] Furthermore, the step of adjusting the feeding rate of the subsequent monitoring period based on the current optimization coefficient for peeling includes:

[0033] The average feeding speed in the current monitoring period is multiplied by the optimization coefficient, and this product is used as the average feeding speed in the next monitoring period.

[0034] Furthermore, the method for obtaining the extreme point includes:

[0035] Curve fitting is performed on all vibration data during the peeling cycle to obtain the vibration curve; the point on the vibration curve where the first derivative is zero is taken as the extreme point.

[0036] The present invention also provides an insulation stripping device for wire processing, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the method as described in any of the above.

[0037] The present invention has the following beneficial effects:

[0038] This invention assesses the consistency and stability of the feeding mechanism by monitoring vibrations during the feeding process and the differences in wire length between each stripping cycle, reflecting potential fluctuations in wire feeding. Then, it observes the quality of wire cutting by analyzing the deviation in the length of the cut wires, reflecting the consistency of the cutting process for each wire. Furthermore, it analyzes the overall exposed length after stripping and the length of the detailed metal conductors to assess the integrity of the wire conductors preserved during stripping, comprehensively characterizing the stripping efficiency during the monitoring process. Finally, it optimizes the wire feeding speed by analyzing the stripping efficiency and the relationship between stripping efficiency and wire feeding speed, ensuring both production efficiency and processing quality of the stripping equipment. This invention analyzes and monitors the stability of equipment operation and the consistency and integrity of stripping during the stripping process, adjusting subsequent feeding rates to ensure the appropriate operating state of the stripping equipment and guarantee efficient and high-quality wire stripping. Attached Figure Description

[0039] To more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0040] Figure 1 A flowchart of a method for stripping insulation from wires in an embodiment of the present invention is provided.

[0041] Figure 2 This is a schematic diagram of the structure of an insulation stripping device for wire processing according to an embodiment of the present invention;

[0042] Figure 3 This is a schematic diagram of the structure of a feeding device provided in one embodiment of the present invention;

[0043] Figure 4 This is a schematic diagram of a vibration curve during a peeling cycle, provided as an embodiment of the present invention.

[0044] Figure 5 A schematic diagram of an efficiency curve and a rate curve provided in one embodiment of the present invention;

[0045] Please label the following reference numerals on the attached diagram: 1. Stripping equipment body; 2. Wire to be stripped; 3. Rail; 4. Photoelectric sensor; 5. Feeding mechanism; 6. Pressure roller; 7. Adjustable pressure cutter; 8. Waste collection box; 9. Discharge mechanism; 10. Finished product collection box after stripping; 11. Equipment display screen; 51. Photoelectric sensor; 71. Depth camera. Detailed Implementation

[0046] To further illustrate the technical means and effects adopted by the present invention to achieve its intended purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation, structure, features, and effects of a method and apparatus for stripping insulation layers in wire processing according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0047] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0048] The following description, in conjunction with the accompanying drawings, details a specific scheme for a method and apparatus for stripping insulation layers in wire processing provided by the present invention. Figure 2 and Figure 3 When the wires are processed automatically, the required wire length and stripping degree must be input in advance, which is the required cutting length and exposed length of the wire. Then, the feeding mechanism 5 conveys the wires to initially straighten wires with different degrees of curvature. After that, the wires enter the pressure roller 6 to process the initially straightened wires again. Then, the wires pass through the cutter, and the length of the wires fed in is obtained by the photoelectric sensor 51 set in the feeding mechanism. When the expected length is reached, the limiting device in the pressure roller 6 fixes the wires, and the cutter strips the wires.

[0049] At this stage, the wire is not completely cut off, but only a slit is formed. This is to prevent damage to the metal wire from contact with the discharge mechanism 9. The stripped insulation layer is collected in the waste collection box 8. After the discharge device receives the wire, when it reaches the required wire length, the limit module fixes it, the cutter strips the insulation from the other end of the wire, and cuts the wire. Then, the discharge mechanism 9 transports the stripped wire to the finished product collection box 10 for collection. The equipment parameters and the wire stripping status can be obtained in real time through the equipment display screen 11. This completes the required wire stripping process.

[0050] During the process of stripping wires, the stripping equipment cuts the outer insulation layer of the wire and exposes the metal conductor. This process may encounter various problems. If the intervention for high-speed processing is not timely, the stripping depth may be uneven, which may damage the metal conductor in the wire and affect the electrical performance of the wire.

[0051] The wire insulation stripping equipment also includes a memory, a processor, and a computer program stored in the memory and executable on the processor. By collecting, processing, and analyzing data, it implements a method for stripping insulation from wires. Please refer to [link to relevant documentation]. Figure 1 The diagram illustrates a flowchart of a method for stripping insulation from wires according to an embodiment of the present invention. The method includes the following steps:

[0052] S1: During each stripping cycle in the monitoring period, acquire the vibration data of the equipment, the wire feeding rate, the feeding length and the cutting length, as well as the exposed length of the wire after stripping and the length of the metal conductor on the exposed wire.

[0053] In the wire stripping process, this embodiment of the invention defines one stripping cycle as the stripping process of one wire, and the monitoring period is the time within 5 minutes of equipment operation. Data is collected through sensors at key locations on the equipment, and vibration sensors on the feeding mechanism collect vibration data to reflect the stability of the feeding mechanism's operation. Simultaneously, photoelectric sensors record the feeding length and cutting length, as well as the feeding rate.

[0054] To analyze the quality during the peeling process, the exposed length is recorded after peeling to facilitate analysis of processing errors. A depth camera is used to acquire images after peeling, and the edge lines are obtained and their lengths recorded as the lengths of the metal wires. In this embodiment, the peeled wire is rotated once to obtain a more complete view of the wire lengths, facilitating observation of wire integrity. Specific data acquisition settings can be adjusted by the implementer according to the specific implementation scenario and are not limited here.

[0055] S2: During the current monitoring period, the feeding consistency index is obtained based on the amplitude and frequency of vibration data in each peeling cycle and the fluctuation of the feed line length during the cycle; the cutting uniformity index is obtained based on the feeding consistency index during the current monitoring period and the uniformity of the cutting length deviation between every two peeling cycles.

[0056] The stability of the feeding mechanism directly affects the wire feeding speed and positional accuracy. Unstable feeding leads to inconsistent stripping lengths, affecting connector quality and electrical connection reliability, and easily causing low stripping production efficiency. Therefore, by analyzing the stability of periodic vibrations and the fluctuation of feeding length during monitoring periods, the degree of consistency is analyzed. In this embodiment of the invention, the method for obtaining the feeding consistency index includes:

[0057] First, in each peeling cycle, the extreme points of the vibration data are obtained. By curve fitting of all vibration data from each peeling cycle, a vibration curve is obtained, and the points on the vibration curve where the first derivative is zero are taken as extreme points. The changes in vibration data between extreme points reflect the stability. Please refer to [link to relevant documentation]. Figure 4 The diagram illustrates a vibration curve during a peeling cycle according to an embodiment of the present invention. It should be noted that curve fitting is a technique well-known to those skilled in the art and will not be elaborated upon here.

[0058] Furthermore, the duration between any two adjacent extreme points is used as each vibration time difference, reflecting the time of a single vibration. The mean amplitude of all vibration data in each peeling cycle is negatively correlated and multiplied by the mean of all vibration time differences to obtain the operational stability of each peeling cycle. A smaller vibration time difference indicates a higher vibration frequency and higher instability. Conversely, a larger amplitude indicates higher vibration intensity and higher instability. Therefore, negatively correlating the mean amplitude of all vibration data in the peeling cycle and combining it with the vibration time difference characterizes operational stability; a smaller amplitude and a larger vibration time difference indicate more stable operation.

[0059] It should be noted that negative correlation mapping is a technique well known to those skilled in the art, and can take the form of inverse proportion or negative exponent, etc., without any restrictions or elaborations here.

[0060] Furthermore, during the current monitoring period, the average feeding length of all stripping cycles is negatively correlated to obtain the current feeding stability. The smaller the difference in wire feeding length between different cycles during the monitoring period, the better the feeding consistency of the feeding mechanism and the more stable the processing process is during the stripping process of the wire processing equipment.

[0061] Therefore, considering both operational and wire feeding conditions, the product of the average operational stability of all stripping cycles and the feeding stability is used as the feeding consistency index for the current monitoring period. If the feeding inconsistency is high, the wire feeding speed and length may fluctuate, affecting the uniformity of subsequent cutting lengths. Consequently, to address this unevenness, operators may need to frequently intervene manually, adjusting the feeding speed and position. This intervention may disrupt the original feeding consistency.

[0062] Feeding consistency directly affects the uniformity of wire cutting length, which in turn can impact the stability of the feeding process. If the wire gets stuck or is fed intermittently during feeding, the cutting blade may cut at different feeding positions, potentially leading to variations in cutting length and consequently affecting the consistency of the final product. Therefore, this study considers the error in cutting length during the stripping process and analyzes and monitors any uneven cutting that may occur.

[0063] Preferably, in this embodiment of the invention, the method for obtaining the cutting uniformity index includes:

[0064] In each peeling cycle, the difference between the cutting length and the expected cutting length is recorded as the cutting deviation. The ratio of the cutting deviation to the preset error value is used as the cutting error degree for each peeling cycle. The ratio of the deviation between the cutting length in a cycle and the required cutting length to the allowable error value in actual processing represents the proportion of the deviation to the allowable error. The larger the cutting error degree, the less acceptable the deviation is for actual processing. It should be noted that the expected cutting length and the expected error value are the required values ​​in actual processing, and implementers can adjust them according to the specific implementation scenario; no restrictions are imposed here.

[0065] During the monitoring period, the difference in cutting error between every two distinct peeling cycles is calculated, and the average of all differences is taken as the cutting volatility for the current monitoring period. By analyzing the degree of fluctuation in error between each pair of cycles during the monitoring period, the extent to which cutting is affected by volatility is reflected.

[0066] Furthermore, by comprehensively considering the feeding consistency index and cutting fluctuation during the current monitoring period, the cutting uniformity for the current monitoring period is obtained. In this embodiment of the invention, the product of the cutting fluctuation after negative correlation mapping and the feeding consistency index is used as the cutting uniformity. The smaller the cutting fluctuation and the higher the feeding consistency, the higher the cutting uniformity and the better the processing efficiency.

[0067] The uniformity of the cut wire length directly affects the subsequent stripping process. Uneven cut lengths may result in encountering wires of varying lengths during stripping, and stripping efficiency assessment requires uniform input conditions. Uniform cut lengths ensure consistent treatment of each wire during stripping, thereby improving the quality and efficiency of stripping. Uniform cut lengths also reduce adjustment and adaptation time during stripping, further increasing efficiency.

[0068] S3: By monitoring the required error degree of the exposed length after peeling during the monitoring period, combined with the cutting uniformity index, the peeling fluctuation of the current monitoring period is obtained; based on the change of peeling fluctuation between the current monitoring period and the previous monitoring period, as well as the length deviation between the metal wires after peeling, the peeling efficiency of the current monitoring period is obtained.

[0069] Stripping efficiency directly affects the number of wires that can be processed per hour. Low stripping efficiency will slow down the overall speed of the production line, affecting the smoothness and efficiency of production. Furthermore, stripping efficiency is not only related to the speed of removing the insulation layer, but also closely related to whether the integrity of the conductor is damaged during the stripping process.

[0070] Therefore, considering the actual processing conditions after peeling and comprehensively analyzing the peeling efficiency, the peeling fluctuation is first obtained based on the degree of error in meeting the required exposed length after peeling. In this embodiment of the invention, the method for obtaining the peeling fluctuation includes:

[0071] After calculating the difference between the exposed length and the expected exposed length in each stripping cycle, the average of the differences across all stripping cycles is used as the exposed length error for the current monitoring period. This reflects the stripping error in each cycle, specifically the situation where the exposed length meets the expected requirements. A larger exposed length error indicates a higher stripping length error during the wire processing within the monitoring period. It should be noted that the expected exposed length can be adjusted according to the implementation scenario and is not limited here.

[0072] The product of the negative correlation mapping of the cutting uniformity index during the current monitoring period and the exposure error is then used as the peeling fluctuation degree during the current monitoring period. The smaller the cutting uniformity index, the higher the potential fluctuation impact; the larger the peeling fluctuation degree, the worse the peeling quality.

[0073] Simultaneously considering the integrity of the wires after stripping, the more intact and consistent the stripped metal wires, the better the stripping quality and the higher the efficiency. Therefore, the stripping efficiency is analyzed by combining the deviation of the stripped metal wires. In this embodiment of the invention, the method for obtaining the stripping efficiency includes:

[0074] During each monitoring period, the length difference between any two different metal wires on the exposed wire in each stripping cycle is calculated as the wire deviation. The larger the deviation, the more likely some wires were damaged during the actual stripping process, resulting in uneven lengths. The average deviation of all wires on the exposed wire in each stripping cycle is taken as the wire length fluctuation of each stripping cycle, reflecting the overall degree of damage to the wire during the cycle.

[0075] The ratio of the current monitoring period to the previous monitoring period is then used as the current time-series volatility, which characterizes the change in the degree of volatility in the comprehensive analysis. The larger the ratio, the more unstable the peeling volatility is increasing.

[0076] Therefore, by combining the temporal fluctuation of the current monitoring period and the conductor length fluctuation of all stripping periods, the stripping efficiency for the current monitoring period is obtained. In this embodiment of the invention, the sum of the conductor length fluctuations of all stripping periods is taken as the conductor inconsistency of the current monitoring period, and the degree of damage across all periods is considered. A negative correlation mapping is applied to the product of the temporal fluctuation and conductor inconsistency for the current monitoring period to obtain the stripping efficiency for the current monitoring period. When the stripping deviation fluctuation increases and the length difference between metal conductors is greater during the monitoring period, it indicates that the stripping efficiency in the wire processing process is lower.

[0077] S4: Based on the historical time series monitoring period's relationship between peeling efficiency and feeding rate, and the current monitoring period's peeling efficiency, obtain the current optimization coefficient; adjust the feeding rate of subsequent monitoring periods for peeling based on the current optimization coefficient.

[0078] By analyzing the stripping efficiency during the wire processing in the current monitoring period, it is considered that there should be a positive correlation between stripping efficiency and the wire feeding speed in the stripping equipment. If this relationship is deviated during the wire feeding process, it may affect the subsequent wire stripping quality and reduce the consistency of wire stripping quality.

[0079] Therefore, we further analyzed the relationship between the changes in feeding speed and stripping efficiency in all monitoring periods prior to the current monitoring time, and adaptively optimized the performance of the wire stripping equipment based on the feedback results to ensure high-efficiency operation of the equipment.

[0080] Preferably, in this embodiment of the invention, the method for obtaining the optimization coefficients includes:

[0081] First, the peeling efficiency for each monitoring period within a preset historical time period is fitted to obtain an efficiency curve. Then, the average feeding speed for each monitoring period within the preset historical time period is fitted to obtain a rate curve. Please refer to [link / reference]. Figure 5The diagram illustrates an efficiency curve and a rate curve provided in an embodiment of the present invention. To facilitate curve correlation analysis, the values ​​of peeling efficiency and feeding rate are normalized to remove the influence of the dimensional data range.

[0082] Then, the degree of closeness between the efficiency curve and the rate curve is calculated and normalized to obtain the efficiency correlation. In the embodiments of the present invention, the Pearson correlation coefficient can be used as the efficiency correlation to reflect the degree of positive correlation between the curves. It should be noted that the calculation of the correlation between curves is a technical means well known to those skilled in the art. Euclidean distance or mean square error can also be used to calculate the approximate correlation between curves. The specific methods are not limited or described here.

[0083] Finally, the normalized value of the stripping efficiency during the current monitoring period is added to the normalized value of the efficiency correlation, and the negative correlation mapping is performed to obtain the optimization coefficient for the current monitoring period. When the stripping efficiency is lower and the correlation between the feeding speed and the stripping efficiency is less obvious, more effort is needed to adjust the wire feeding speed of the processing equipment in order to improve the processing consistency and production efficiency of the wire processing equipment. Therefore, the larger the optimization coefficient is.

[0084] It should be noted that normalization is a technique well known to those skilled in the art. The choice of normalization can be linear normalization or standard normalization, etc., and the specific normalization method is not limited here.

[0085] Based on the optimization coefficient, in this embodiment of the invention, the product of the average feeding speed in the current monitoring period and the optimization coefficient is used as the average feeding speed in the next monitoring period. This average speed limits the actual feeding speed in each stripping cycle, ensuring that it does not exceed the average speed and remains near the optimized average speed, thereby ensuring the consistency of quality in the wire processing and stripping process.

[0086] In this embodiment of the invention, the feeding speed and peeling efficiency can be comprehensively evaluated periodically to generate data reports, analyze the equipment performance under different conditions, and adjust the production plan and equipment maintenance strategy based on the collected data to ensure that the peeling equipment is always in the best condition, so as to ensure that the quality of the final product and the production efficiency are optimally balanced.

[0087] In summary, this invention assesses the consistency and stability of the feeding mechanism by monitoring vibrations during the feeding process and the differences in wire lengths between each stripping cycle, reflecting potential fluctuations in wire feeding. Then, by analyzing the deviation in the wire cutting length, the quality of wire cutting is observed, reflecting the consistency of the cutting process for each wire during stripping. Furthermore, by combining the overall exposed length after stripping with the length of detailed metal conductors, the integrity of the wire conductor is analyzed, comprehensively characterizing the stripping efficiency during the monitoring process. Finally, by optimizing the stripping efficiency and the relationship between stripping efficiency and wire feeding speed, the wire feeding speed is adjusted to ensure the production efficiency and processing quality of the stripping equipment. This invention analyzes and monitors the stability of equipment operation and the consistency and integrity of stripping during the stripping process, adjusting the subsequent feeding rate to ensure the appropriate operating state of the stripping equipment and guarantee efficient and high-quality wire stripping.

[0088] It should be noted that the order of the above embodiments of the present invention is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0089] The various embodiments in this specification are described in a progressive manner. The same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on describing the differences from other embodiments.

Claims

1. A method for stripping insulation from wires during wire processing, characterized in that, The method includes: During each stripping cycle in the monitoring period, acquire the vibration data of the equipment, the wire feeding rate, the feeding length and the cutting length, as well as the exposed length of the wire after stripping and the length of the metal wire on the exposed wire. During the current monitoring period, the feeding consistency index is obtained based on the amplitude and frequency of vibration data in each peeling cycle and the fluctuation of the feed line length during the cycle; the cutting uniformity index is obtained based on the feeding consistency index during the current monitoring period and the uniformity of the cutting length deviation between every two peeling cycles. By monitoring the required error in the length of exposed metal wires after stripping during the monitoring period, and combining this with the cutting uniformity index, the stripping fluctuation of the current monitoring period is obtained. Based on the change in the stripping fluctuation between the current monitoring period and the previous monitoring period, as well as the length deviation between the stripped metal wires, the stripping efficiency of the current monitoring period is obtained. Based on the historical time series monitoring period's relationship between peeling efficiency and feeding rate, and the current monitoring period's peeling efficiency, the current optimization coefficient is obtained; the feeding rate of subsequent monitoring periods is adjusted based on the current optimization coefficient for peeling. The method for obtaining the peeling efficiency includes: During each monitoring period, the length difference between any two different metal wires on the exposed wire in each stripping cycle is calculated as the wire deviation; the average of all wire deviations on the exposed wire in each stripping cycle is taken as the wire length fluctuation of each stripping cycle. The ratio of the current monitoring period's peeling volatility to the previous monitoring period's volatility is taken as the current time-series volatility. By combining the temporal fluctuation of the current monitoring period and the conductor length fluctuation of all stripping periods, the stripping efficiency for the current monitoring period can be obtained. The method for obtaining the optimization coefficients includes: First, the peeling efficiency of each monitoring period in the preset historical period is fitted to obtain an efficiency curve; the average feeding speed of each monitoring period in the preset historical period is fitted to obtain a rate curve; the closeness between the efficiency curve and the rate curve is calculated and normalized to obtain the efficiency correlation. The normalized value of peeling efficiency for the current monitoring period is added to the normalized value of efficiency correlation, and the optimization coefficient for the current monitoring period is obtained by performing negative correlation mapping.

2. The method for stripping insulation from wires during processing according to claim 1, characterized in that, The method for obtaining the feeding consistency index includes: In each peeling cycle, the extreme points of vibration data are obtained; the duration between each two adjacent extreme points is taken as each vibration time difference; the mean amplitude of all vibration data in each peeling cycle is negatively correlated and mapped to the mean of all vibration time differences to obtain the operational stability of each peeling cycle. During the current monitoring period, the average feeding length of all peeling cycles is negatively correlated to obtain the current feeding stability. The product of the mean operational stability of all peeling cycles and the feeding stability is used as the feeding consistency index for the current monitoring period.

3. The method for stripping insulation from wires during processing according to claim 1, characterized in that, The method for obtaining the cutting uniformity index includes: In each peeling cycle, the difference between the cutting length and the expected cutting length is recorded as the cutting deviation; the ratio of the cutting deviation to the preset error value is used as the cutting error degree for each peeling cycle. During the monitoring period, after calculating the difference in cutting error between two different peeling cycles, the average of all differences is taken as the cutting fluctuation of the current monitoring period. By combining the feeding consistency index and cutting fluctuation of the current monitoring period, the cutting uniformity of the current monitoring period can be obtained.

4. The method for stripping insulation from wires during processing according to claim 1, characterized in that, The method for obtaining the peeling fluctuation includes: After calculating the difference between the exposed length and the expected exposed length in each peeling cycle, the average of the differences in all peeling cycles is taken as the exposure error degree for the current monitoring period. The product of the negative correlation mapping of the cutting uniformity index for the current monitoring period and the exposure error is used as the peeling fluctuation for the current monitoring period.

5. The method for stripping insulation from wires during processing according to claim 1, characterized in that, The process of combining the temporal volatility of the current monitoring period with the conductor length volatility of all stripping periods to obtain the stripping efficiency for the current monitoring period includes: The sum of the conductor length fluctuations across all stripping cycles is taken as the conductor inconsistency for the current monitoring cycle. By performing a negative correlation mapping on the product of the temporal volatility and the conductor inconsistency during the current monitoring period, the peeling efficiency for the current monitoring period can be obtained.

6. The method for stripping insulation from wires according to claim 1, characterized in that, The process of adjusting the feeding rate of subsequent monitoring periods based on the current optimization coefficients for peeling includes: The average feeding speed in the current monitoring period is multiplied by the optimization coefficient, and this product is used as the average feeding speed in the next monitoring period.

7. The method for stripping insulation from wires during processing according to claim 2, characterized in that, The method for obtaining the extreme points includes: Curve fitting is performed on all vibration data during the peeling cycle to obtain the vibration curve; the point on the vibration curve where the first derivative is zero is taken as the extreme point.

8. An insulation stripping device for wire processing, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method as described in any one of claims 1 to 7.

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